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DOP-C01 Prüfungsfragen & DOP-C01 Schulungsunterlagen
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Die Amazon DOP-C01-Zertifizierungsprüfung testet die Fähigkeiten und das Wissen des Kandidaten in verschiedenen Bereichen wie kontinuierliche Integration und Bereitstellung, Infrastruktur wie Code, Überwachung und Protokollierung, Sicherheit und Einhaltung. Die Prüfung soll die Fähigkeit des Kandidaten bewerten, verschiedene AWS -Tools und -Dienste zu verwenden, um Anwendungen und Infrastrukturen sicher und skalierbar zu erstellen und bereitzustellen.
Amazon DOP-C01 Prüfungsplan:
Thema
Einzelheiten
Thema 1
- Implement and Automate Security Controls, Governance Processes, and Compliance Validation
Thema 2
- Configuration Management And Infrastructure As Code
- Apply Concepts Required To Automate And Integrate Testing
Thema 3
- Apply Concepts Required To Audit, Log, And Monitor Operating Systems, Infrastructures, And Applications
Thema 4
- Determine Source Control Strategies And How To Implement Them
- Monitoring And Logging
Thema 5
- Apply Concepts Required To Manage Systems Using AWS Configuration Management Tools And Services
Thema 6
- Determine Application And Infrastructure Deployment Models Based On Business Needs
Thema 7
- Implement Systems that are Highly Available, Scalable, and Self-Healing on the AWS Platform
Thema 8
- Apply Concepts Required To Enforce Standards For Logging, Metrics, Monitoring, Testing, And Security
Thema 9
- Apply Concepts Required To Automate Monitoring And Event Management Of An Environment
Thema 10
- Determine How To Implement High Availability, Scalability, And Fault Tolerance
- Determine How To Automate Event Management And Alerting
Thema 11
- Determine How To Implement Tagging And Other Metadata Strategies
- Determine How To Optimize Cost Through Automation
Thema 12
- Apply Concepts Required To Set Up Event-Driven Automated Actions
- Determine Appropriate Use Of Multi-AZ Versus Multi-Region Architectures
Thema 13
- Determine Deployment Services Based On Deployment Needs
- Determine How To Implement Lifecycle Hooks On A Deployment
Thema 14
- Implement and Manage Continuous Delivery Systems and Methodologies on AWS
Thema 15
- Determine How To Set Up The Aggregation, Storage, And Analysis Of Logs And Metrics
Thema 16
- Apply Security Concepts In The Automation Of Resource Provisioning
- Apply Concepts Required To Build And Manage Artifacts Securely
Thema 17
- Apply Concepts Required To Implement Governance Strategies
- Troubleshoot Issues And Determine How To Restore Operations
Amazon DOP-C01 Schulungsunterlagen & DOP-C01 PDF
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Amazon AWS Certified DevOps Engineer - Professional DOP-C01 Prüfungsfragen mit Lösungen (Q346-Q351):
346. Frage
A company is required to collect user consent to a privacy agreement.
An application is deployed in six AWS Regions with two in North America, two in Europe, and two in Asia with a user base of 20-30 million users.
The company needs to read and write data related to each user's response, and ensure the responses are available in all six Regions.
What solution will satisfy these requirements while MINIMIZING latency?
- A. Implement Amazon DynamoDB global tables in each of the six Regions.
- B. Implement Amazon ElastiCache for Redis replication group in each of the six Regions.
- C. Implement Amazon Aurora Global Database in each of the six Regions.
- D. Implement Amazon DocumentDB (with MongoDB compatibility) in each of the six Regions.
Antwort: A
347. Frage
Which answer is the proper syntax for specifying two target hosts on the command line when running an Ansible Playbook?
- A. ansible-playbook -h host1.example.com,host2.example.com playbook.yml
- B. ansible-playbook -h host1.example.com -i all playbook.yml
- C. ansible-playbook -i host1.example.com,host2.example.com playbook.yml
- D. ansible-playbook -i host1.example.com playbook.yml
Antwort: C
Begründung:
Ansible uses the `-i' flag for accepting an inventory file or host. To allow Ansible to determine if you are passing a host list versus an inventory file the list must be comma separated. If a single host is specified, a trailing comma must be present.
Reference: http://docs.ansible.com/ansible/intro_inventory.html#inventory
348. Frage
A DevOps engineer is implementing governance controls for a company that requires its infrastructure to be housed within the United States. The engineer must restrict which Regions can be used, and ensure an alert is sent as soon as possible if any activity outside the governance policy takes place. The controls should be automatically enabled on any new Region outside the United States.
Which combination of actions will meet these requirements? (Choose two.)
- A. Configure AWS CloudTrail to send logs to Amazon CloudWatch Logs and enable it for all Regions. Use a CloudWatch Logs metric filter to send an alert on any service activity in non-US Regions.
- B. Use an AWS Lambda function to query Amazon Inspector to look for service activity in non-US Regions and send alerts if any activity is found.
- C. Use an AWS Lambda function that checks for AWS service activity and deploy it to all Regions. Write an Amazon CloudWatch Events rule that runs the Lambda function every hour, sending an alert if activity is found in a non-US Region.
- D. Write an SCP using the aws:RequestedRegion condition key limiting access to US Regions. Apply the policy to all users, groups, and roles.
- E. Create an AWS Organizations SCP that denies access to all non-global services in non-US Regions.
Attach the policy to the root of the organization.
Antwort: A,C
349. Frage
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below
- A. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
- B. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
- C. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.
- D. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
- E. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
- F. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
- G. Use an Amazon RDS Multi-AZ deployment.
Antwort: E,G
Begründung:
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU
utilization of the current instances in the Autoscaling group
For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.a mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby for to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. For more information on RDS Multi-AZ please refer to the below link:
https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB
Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB fails.
350. Frage
Which of the following are components of the AWS Data Pipeline service. Choose 2 answers from the options given below
- A. Pipeline definition
- B. Task History
- C. Task Runner
- D. Workflow Runner
Antwort: A,C
Begründung:
Explanation
The AWS Documentation mentions the following on AWS Pipeline
The following components of AWS Data Pipeline work together to manage your data:
* A pipeline definition specifies the business logic of your data management.
* A pipeline schedules and runs tasks. You upload your pipeline definition to the pipeline, and then activate the pipeline. You can edit the pipeline definition for a running pipeline and activate the pipeline again for it to take effect. You can deactivate the pipeline, modify a data source, and then activate the pipeline again. When you are finished with your pipeline, you can delete it.
* Task Runner polls for tasks and then performs those tasks. For example. Task Runner could copy log files to Amazon S3 and launch Amazon EMR clusters. Task Runner is installed and runs automatically on resources created by your pipeline definitions. You can write a custom task runner application, or you can use the Task Runner application that is provided by AWS Data Pipeline.
For more information on AWS Pipeline, please visit the link:
* http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapi peline.html
351. Frage
......
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